# Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/residual-wave-vision-u-net-for-flood-mapping-using-dual-polarization-sentinel-1/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Jamali,Swalpa Kumar Roy,Leila Hashemi-Beni,Biswajeet Pradhan,Jonathan Li,Pedram Ghamisi |
| Citations | 65 |
| DOI | 10.1016/j.jag.2024.103662 |
| Fields | Earth and Planetary Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.jag.2024.103662 |
| OpenAlex ID | https://openalex.org/W4391074624 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ali Jamali](https://scholariq.org/researchers/ali-jamali/)

## Paper primary topic

- [Flood Risk Assessment and Management](https://scholariq.org/topics/flood-risk-assessment-and-management/)

## Paper topics

- [Flood Risk Assessment and Management](https://scholariq.org/topics/flood-risk-assessment-and-management/)
- [Ocean Waves and Remote Sensing](https://scholariq.org/topics/ocean-waves-and-remote-sensing/)
- [Tropical and Extratropical Cyclones Research](https://scholariq.org/topics/tropical-and-extratropical-cyclones-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.